Applying Educational Programming Language‐Based Learning to Enhance the Programming Skills of Non‐ICT Engineering College Students

Author:

Rodas-Silva JorgeORCID,Parraga-Alava JorgeORCID,Vinueza-Morales MariuxiORCID,Chacón Luna Ana EvaORCID,Cárdenas-Cobo JesenniaORCID

Abstract

The need for knowledgeable programmers has increased, highlighting the importance of strong programming foundations in engineering education. Limited access to high‐quality learning materials and educational opportunities presents challenges unrelated to information and communication technology (ICT) field (non‐ICT‐related) students in acquiring programming skills. Educational programming languages (EPLs) such as App Lab have gained popularity as they offer an accessible platform for students to learn programming fundamentals in a visual and interactive manner. This paper examines the impact of the EPL called App Lab on the development of fundamental programming skills among non‐ICT‐related field engineering college students. We conducted a quasiexperimental research study using a single‐blinded, nonequivalent control group pretest–posttest design. The study included 56 participants, all of whom were enrolled in the Environmental Engineering and Biotechnology program at the State University of Milagro (UNEMI), Ecuador. The experimental group consisted of 26 students, while the control group comprised 30 students. The assessment process involved the administration of a battery of 200 questions before and after the intervention. The intervention involved the use of App Lab as an EPL and lasted for a duration of 3 weeks exclusively for the experimental group, while the control group followed their usual tutoring program. The study results showed that students who received EPL‐mediated learning with App Lab had significant increase in their programming skills. App Lab demonstrated a positive impact, particularly among male students who reported Internet usage, as well as in advanced programming topics including loops, lists, and functions, when compared to their female counterparts.

Publisher

Wiley

Reference87 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3